Low-code data science: visual analyses the business understands and IT governs — from data exploration to workflows in production.
Today's reference KNIME platforms — the ones we design, size and manage.
The self-hosted server platform (on Kubernetes): scheduled execution, versioning, permissions and deployment — analytics that becomes a service.
The same platform as SaaS: to start right away, without infrastructure.
Elastic workflow execution: heavy jobs scale across nodes, without blocking the analysts.
Connectors for databases, files, APIs and cloud: data is taken where it lives — ERP included — without manual copies.
The Hub in your data center or in our managed perimeter: sensitive data stays where it must.
KNIME's market-leading software products — and how we put them to work.
The open source visual tool: drag-and-drop pipelines from data cleaning to model, no code.
Predictive models, AutoML and Python/R integration: data science accessible even to small teams.
The generative AI assistant: it builds and explains workflows in natural language.
Nodes for working with language models: RAG and AI automations inside visual workflows.
From workflows to interactive applications and automatic reports: analysis that consumes itself.
Thousands of ready-made nodes and examples: the power of open source applied to analytics.
We use KNIME to bring analytics to real company data — often ERP data — with repeatable, scheduled, controlled workflows.
An honest snapshot of where you stand: workloads, costs, risks and opportunities.
The right architecture on KNIME technology, sized to your SLAs.
Implementation and migration with zero downtime, with knowledge transfer.
NOC, Yocto Vision monitoring and monthly reports: the service that never stops.